{"id":3530,"date":"2025-07-09T13:29:01","date_gmt":"2025-07-09T13:29:01","guid":{"rendered":"https:\/\/musictechohio.online\/site\/mid-2025-ai-update-whats-actually-working-in-enterprise\/"},"modified":"2025-07-09T13:29:01","modified_gmt":"2025-07-09T13:29:01","slug":"mid-2025-ai-update-whats-actually-working-in-enterprise","status":"publish","type":"post","link":"https:\/\/musictechohio.online\/site\/mid-2025-ai-update-whats-actually-working-in-enterprise\/","title":{"rendered":"Mid-2025 AI Update: What\u2019s Actually Working in Enterprise"},"content":{"rendered":"<div>\n<p><span style=\"font-weight: 400;\">As we cross the midpoint of 2025, the conversation around AI is shifting from potential to practice. While the race to build the next frontier model dominates headlines, the more critical story is one of diffusion\u2014how this technology is actually being woven into the fabric of business. As I <\/span><a href=\"https:\/\/gradientflow.substack.com\/i\/165592111\/inside-chinas-ai-registry\"><span style=\"font-weight: 400;\">recently noted<\/span><\/a><span style=\"font-weight: 400;\">, China is accelerating this process through national strategy. The following list offers a playbook for leaders navigating this transition, outlining the key strategic, technical, and organizational patterns that are separating the leaders from the laggards. Use it to benchmark your progress and refine your company\u2019s AI roadmap.<\/span><\/p>\n<hr>\n<p style=\"text-align: center;\"><strong>Readers keep Gradient Flow going. Subscribe free or paid to get new posts and help sustain this work.<\/strong><\/p>\n<\/p>\n<p><center><iframe loading=\"lazy\" style=\"border: 1px solid #EEE; background: white;\" src=\"https:\/\/gradientflow.substack.com\/embed\" width=\"480\" height=\"320\" frameborder=\"0\" scrolling=\"no\"><\/iframe><\/center><\/p>\n<hr>\n<h5><b>Market Dynamics &amp; Strategic Positioning<\/b><\/h5>\n<p><b>Model Commoditization<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">The performance gap between frontier models (GPT, Claude, Gemini) is narrowing rapidly, with competitive open models emerging within 3-6 months of any breakthrough. Foundation models are becoming interchangeable commodities rather than durable competitive advantages.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Build model-agnostic architectures from day one to avoid vendor lock-in and leverage the best models for each use case.<\/span><\/li>\n<\/ul>\n<p><b>Vertical Specialization Strategy<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Breakout enterprise AI startups like Harvey (legal) and Sierra (customer service) demonstrate that deep domain expertise beats horizontal platforms. These companies win by mastering industry-specific workflows, terminology, and success metrics that generic solutions cannot address.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For startups:<\/b><span style=\"font-weight: 400;\"> Choose a specific vertical and become the definitive solution for that industry. Domain depth and \u201cspeaking the customer\u2019s language\u201d create defensible moats and higher willingness to pay.<\/span><\/li>\n<\/ul>\n<p><b>Three-Tier Market Structure<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">The AI ecosystem is stratifying into <\/span><i><span style=\"font-weight: 400;\">foundation models<\/span><\/i><span style=\"font-weight: 400;\"> (capital-intensive, low-margin), <\/span><i><span style=\"font-weight: 400;\">tools\/infrastructure<\/span><\/i><span style=\"font-weight: 400;\"> (higher margin but commoditizing), and <\/span><i><span style=\"font-weight: 400;\">applied AI solutions<\/span><\/i><span style=\"font-weight: 400;\"> (highest margin, most defensible).<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For startups:<\/b><span style=\"font-weight: 400;\"> Position in the applied AI layer, using foundation models as commoditized inputs to deliver specialized business outcomes where sustainable margins exist.<\/span><\/li>\n<\/ul>\n<p><b>Myth of the Model-Only Company<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Companies like OpenAI and Anthropic succeed not through models alone but as AI product companies. Their value lies in complete solutions: APIs, security, compliance, governance, and user-facing applications.<\/span><\/p>\n<ul>\n<li><b>For startups:<\/b><span style=\"font-weight: 400;\"> Differentiate through complete solutions\u2014workflow integration, UX, and business logic\u2014not thin wrappers around public APIs.<\/span><\/li>\n<\/ul>\n<p><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"46206\" data-permalink=\"https:\/\/gradientflow.com\/your-ai-playbook-for-the-rest-of-2025\/enterprise-ai-market-dynamics\/\" data-orig-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-market-dynamics.jpeg?fit=1913%2C602&amp;ssl=1\" data-orig-size=\"1913,602\" data-comments-opened=\"0\" data-image-meta='{\"aperture\":\"0\",\"credit\":\"\",\"camera\":\"\",\"caption\":\"\",\"created_timestamp\":\"0\",\"copyright\":\"\",\"focal_length\":\"0\",\"iso\":\"0\",\"shutter_speed\":\"0\",\"title\":\"\",\"orientation\":\"1\"}' data-image-title=\"Enterprise AI \u2013 market dynamics\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-market-dynamics.jpeg?fit=300%2C94&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-market-dynamics.jpeg?fit=750%2C236&amp;ssl=1\" class=\"aligncenter wp-image-46206\" src=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-market-dynamics.jpeg?resize=721%2C227&amp;ssl=1\" alt=\"\" width=\"721\" height=\"227\" srcset=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-market-dynamics.jpeg?w=1913&amp;ssl=1 1913w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-market-dynamics.jpeg?resize=300%2C94&amp;ssl=1 300w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-market-dynamics.jpeg?resize=1024%2C322&amp;ssl=1 1024w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-market-dynamics.jpeg?resize=768%2C242&amp;ssl=1 768w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-market-dynamics.jpeg?resize=1536%2C483&amp;ssl=1 1536w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-market-dynamics.jpeg?resize=1568%2C493&amp;ssl=1 1568w\" sizes=\"(max-width: 721px) 100vw, 721px\"><\/p>\n<h5><b>The Data Foundation<\/b><\/h5>\n<p><b>Modern Data Platform as the Entry Ticket<\/b><\/p>\n<p><span style=\"font-weight: 400;\">GenAI\u2019s appetite for unstructured data breaks traditional data warehouses built for neat rows and columns. The core bottleneck for most enterprises is not a lack of models, but a lack of pipelines to feed them with relevant, clean, proprietary data.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For enterprises<\/b><span style=\"font-weight: 400;\">: Your AI progress is capped by your data infrastructure\u2019s maturity. Prioritize building a multimodal data platform that can handle unstructured data before scaling your AI initiatives.<\/span><\/li>\n<\/ul>\n<p><b>Data Quality Over Model Choice<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">The performance of any AI system, especially those using RAG, is limited by the quality of the data it can access. High-quality, domain-specific data is a more durable competitive advantage than access to any single foundation model. \u201cGarbage in, garbage out\u201d remains the iron law.<\/span><\/p>\n<ul>\n<li><b>For AI teams:<\/b><span style=\"font-weight: 400;\"> Treat your data pipeline\u2014ingestion, cleaning, and enrichment\u2014as a core product. Your most valuable IP isn\u2019t the model, but the high-quality data flow that feeds it.<\/span><\/li>\n<\/ul>\n<p><img loading=\"lazy\" data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"46227\" data-permalink=\"https:\/\/gradientflow.com\/your-ai-playbook-for-the-rest-of-2025\/enterprise-ai-data\/\" data-orig-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Data.jpeg?fit=1815%2C663&amp;ssl=1\" data-orig-size=\"1815,663\" data-comments-opened=\"0\" data-image-meta='{\"aperture\":\"0\",\"credit\":\"\",\"camera\":\"\",\"caption\":\"\",\"created_timestamp\":\"0\",\"copyright\":\"\",\"focal_length\":\"0\",\"iso\":\"0\",\"shutter_speed\":\"0\",\"title\":\"\",\"orientation\":\"1\"}' data-image-title=\"Enterprise AI \u2013 Data\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Data.jpeg?fit=300%2C110&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Data.jpeg?fit=750%2C274&amp;ssl=1\" class=\"aligncenter wp-image-46227\" src=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Data.jpeg?resize=747%2C273&amp;ssl=1\" alt=\"\" width=\"747\" height=\"273\" srcset=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Data.jpeg?w=1815&amp;ssl=1 1815w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Data.jpeg?resize=300%2C110&amp;ssl=1 300w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Data.jpeg?resize=1024%2C374&amp;ssl=1 1024w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Data.jpeg?resize=768%2C281&amp;ssl=1 768w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Data.jpeg?resize=1536%2C561&amp;ssl=1 1536w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Data.jpeg?resize=1568%2C573&amp;ssl=1 1568w\" sizes=\"auto, (max-width: 747px) 100vw, 747px\"><\/p>\n<h5><b>Technical Architecture &amp; Implementation<\/b><\/h5>\n<p><b>Complete AI Systems Over Pure Models<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Reliable enterprise solutions require AI systems that orchestrate foundation models with traditional tools\u2014calculators, APIs, databases, and custom code\u2014to handle reasoning, computation, and data retrieval effectively.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For AI teams:<\/b><span style=\"font-weight: 400;\"> Design modular architectures where LLMs handle reasoning while specialized tools manage deterministic tasks. Think beyond single-model solutions.<\/span><\/li>\n<\/ul>\n<p><b>Evaluation-Driven Development as Core IP<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Your <\/span><b>evaluation framework<\/b><span style=\"font-weight: 400;\">\u2014comprising representative test cases, clear metrics, and production telemetry\u2014becomes <\/span><b>proprietary intellectual property<\/b><span style=\"font-weight: 400;\"> that determines competitive advantage and guides optimization.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For AI teams:<\/b><span style=\"font-weight: 400;\"> Invest in evaluation architecture before building features. Design evals that define tradeoffs between intelligence, cost, and latency for your specific use case. Treat evals as first-class code.<\/span><\/li>\n<\/ul>\n<p><b>Architectural Methods Over Fine-Tuning<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Advanced prompt engineering, RAG, tool use, and prompt caching often outperform fine-tuning while being more accessible, less expensive, and less risky than \u201cbrain surgery on the model.\u201d<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Follow an optimization hierarchy: exhaust prompt engineering and RAG first, turning to fine-tuning only when clear metrics justify the cost and complexity.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">While the <\/span><b>RAG-first hierarchy<\/b><span style=\"font-weight: 400;\"> is the right starting point for most enterprise applications, it <\/span><b>has a performance ceiling<\/b><span style=\"font-weight: 400;\">. This <\/span><a href=\"https:\/\/gradientflow.substack.com\/i\/166431233\/from-monoliths-to-specialists-the-new-era-of-ai\"><span style=\"font-weight: 400;\">hierarchy shifts when building specialized agents<\/span><\/a><span style=\"font-weight: 400;\"> for high-stakes domains\u2014while architectural methods provide the foundation, <\/span><a href=\"https:\/\/gradientflow.substack.com\/i\/166431233\/from-monoliths-to-specialists-the-new-era-of-ai\"><span style=\"font-weight: 400;\">post-training techniques<\/span><\/a><span style=\"font-weight: 400;\"> become necessary to achieve the reliability and domain-specific reasoning that enterprise applications demand.<\/span><\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"46209\" data-permalink=\"https:\/\/gradientflow.com\/your-ai-playbook-for-the-rest-of-2025\/enterprise-ai-architecture\/\" data-orig-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Architecture.jpeg?fit=1838%2C581&amp;ssl=1\" data-orig-size=\"1838,581\" data-comments-opened=\"0\" data-image-meta='{\"aperture\":\"0\",\"credit\":\"\",\"camera\":\"\",\"caption\":\"\",\"created_timestamp\":\"0\",\"copyright\":\"\",\"focal_length\":\"0\",\"iso\":\"0\",\"shutter_speed\":\"0\",\"title\":\"\",\"orientation\":\"1\"}' data-image-title=\"Enterprise AI \u2013 Architecture\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Architecture.jpeg?fit=300%2C95&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Architecture.jpeg?fit=750%2C237&amp;ssl=1\" class=\"aligncenter wp-image-46209\" src=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Architecture.jpeg?resize=693%2C219&amp;ssl=1\" alt=\"\" width=\"693\" height=\"219\" srcset=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Architecture.jpeg?w=1838&amp;ssl=1 1838w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Architecture.jpeg?resize=300%2C95&amp;ssl=1 300w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Architecture.jpeg?resize=1024%2C324&amp;ssl=1 1024w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Architecture.jpeg?resize=768%2C243&amp;ssl=1 768w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Architecture.jpeg?resize=1536%2C486&amp;ssl=1 1536w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Architecture.jpeg?resize=1568%2C496&amp;ssl=1 1568w\" sizes=\"auto, (max-width: 693px) 100vw, 693px\"><\/p>\n<h5><b>Business Models &amp; Economic Impact<\/b><\/h5>\n<p><b>Outcome-Based Pricing Revolution<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">The shift from seat-based to <\/span><i><span style=\"font-weight: 400;\">outcome-based pricing<\/span><\/i><span style=\"font-weight: 400;\"> (<\/span><a href=\"https:\/\/sierra.ai\/blog\/outcome-based-pricing-for-ai-agents\"><span style=\"font-weight: 400;\">charging only for successful results<\/span><\/a><span style=\"font-weight: 400;\"> like tickets resolved or contracts reviewed) represents a fundamental disruption that aligns vendor incentives with customer value.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For startups:<\/b><span style=\"font-weight: 400;\"> If your product delivers measurable outcomes, price based on those outcomes. This model is compelling to customers but requires deep accountability and robust measurement.<\/span><\/li>\n<\/ul>\n<p><b>Labor Budget Capture<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">AI\u2019s true economic impact comes from capturing budgets previously allocated to human labor, not just displacing software spend. This expands addressable markets by orders of magnitude beyond traditional software categories.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For startups:<\/b><span style=\"font-weight: 400;\"> Size opportunities by total process costs including human labor. Your <\/span><a href=\"https:\/\/en.wikipedia.org\/wiki\/Total_addressable_market\"><span style=\"font-weight: 400;\">TAM<\/span><\/a><span style=\"font-weight: 400;\"> isn\u2019t today\u2019s software market\u2014it\u2019s the entire labor budget for the function you\u2019re automating.<\/span><\/li>\n<\/ul>\n<p><b>Core vs. Context Strategic Framework<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Geoffrey Moore\u2019s <\/span><a href=\"https:\/\/stvp.stanford.edu\/videos\/core-and-context\/\"><span style=\"font-weight: 400;\">framework<\/span><\/a><span style=\"font-weight: 400;\"> is central to AI strategy: <\/span><i><span style=\"font-weight: 400;\">Core<\/span><\/i><span style=\"font-weight: 400;\"> capabilities create competitive differentiation; <\/span><i><span style=\"font-weight: 400;\">Context<\/span><\/i><span style=\"font-weight: 400;\"> functions are necessary but non-differentiating (like basic HR systems).<\/span><\/p>\n<ul>\n<li><b>For enterprises:<\/b><span style=\"font-weight: 400;\"> Buy \u201ccontext\u201d AI solutions and focus internal development on \u201ccore\u201d AI capabilities that create unique competitive advantages. Building your own HR system wastes energy; building proprietary AI for wealth management or drug discovery creates durable advantage.<\/span><\/li>\n<\/ul>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"46210\" data-permalink=\"https:\/\/gradientflow.com\/your-ai-playbook-for-the-rest-of-2025\/enterprise-ai-business-models\/\" data-orig-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Business-Models.jpeg?fit=1879%2C589&amp;ssl=1\" data-orig-size=\"1879,589\" data-comments-opened=\"0\" data-image-meta='{\"aperture\":\"0\",\"credit\":\"\",\"camera\":\"\",\"caption\":\"\",\"created_timestamp\":\"0\",\"copyright\":\"\",\"focal_length\":\"0\",\"iso\":\"0\",\"shutter_speed\":\"0\",\"title\":\"\",\"orientation\":\"1\"}' data-image-title=\"Enterprise AI \u2013 Business Models\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Business-Models.jpeg?fit=300%2C94&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Business-Models.jpeg?fit=750%2C235&amp;ssl=1\" class=\"aligncenter wp-image-46210\" src=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Business-Models.jpeg?resize=750%2C235&amp;ssl=1\" alt=\"\" width=\"750\" height=\"235\" srcset=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Business-Models.jpeg?w=1879&amp;ssl=1 1879w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Business-Models.jpeg?resize=300%2C94&amp;ssl=1 300w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Business-Models.jpeg?resize=1024%2C321&amp;ssl=1 1024w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Business-Models.jpeg?resize=768%2C241&amp;ssl=1 768w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Business-Models.jpeg?resize=1536%2C481&amp;ssl=1 1536w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Business-Models.jpeg?resize=1568%2C492&amp;ssl=1 1568w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\"><\/p>\n<h5><b>Enterprise Adoption &amp; Go-to-Market<\/b><\/h5>\n<p><b>Production-Ready Solutions Over Demos<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">While enterprises show universal interest in AI, <\/span><a href=\"https:\/\/www.economist.com\/business\/2025\/05\/21\/welcome-to-the-ai-trough-of-disillusionment\"><span style=\"font-weight: 400;\">42% abandon pilots<\/span><\/a><span style=\"font-weight: 400;\"> due to reliability and governance concerns. The gap between experimentation and production deployment remains the primary challenge.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Focus on solving real problems reliably with governed, production-ready solutions. Impressive demos don\u2019t convince potential users\u2014trustworthy, secure solutions do.<\/span><\/li>\n<\/ul>\n<p><b>Problem-Focused Selling<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Successful enterprise AI sales emphasize business outcomes and customer value in their terminology, not technical capabilities or model performance metrics.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For startups:<\/b><span style=\"font-weight: 400;\"> Research customer businesses deeply, understand specific pain points, and articulate value in customer language. Lead with business impact and prove it through focused proofs of value.<\/span><\/li>\n<\/ul>\n<p><b>Data Governance as Core Feature<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Access controls, guardrails, <\/span><a href=\"https:\/\/www.proofpoint.com\/us\/threat-reference\/data-classification\"><span style=\"font-weight: 400;\">data classification<\/span><\/a><span style=\"font-weight: 400;\">, and audit trails aren\u2019t afterthoughts\u2014they\u2019re core features that determine enterprise adoption success and are often the primary deployment blocker.<\/span><\/p>\n<ul>\n<li><b>For AI teams:<\/b><span style=\"font-weight: 400;\"> Address identity management and data classification before deployment. Productize audit trails and red-team reports as part of your core feature set to accelerate security team alignment.<\/span><\/li>\n<\/ul>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"46212\" data-permalink=\"https:\/\/gradientflow.com\/your-ai-playbook-for-the-rest-of-2025\/enterprise-ai-adoption\/\" data-orig-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Adoption.jpeg?fit=1835%2C576&amp;ssl=1\" data-orig-size=\"1835,576\" data-comments-opened=\"0\" data-image-meta='{\"aperture\":\"0\",\"credit\":\"\",\"camera\":\"\",\"caption\":\"\",\"created_timestamp\":\"0\",\"copyright\":\"\",\"focal_length\":\"0\",\"iso\":\"0\",\"shutter_speed\":\"0\",\"title\":\"\",\"orientation\":\"1\"}' data-image-title=\"Enterprise AI \u2013 Adoption\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Adoption.jpeg?fit=300%2C94&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Adoption.jpeg?fit=750%2C235&amp;ssl=1\" class=\"aligncenter wp-image-46212\" src=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Adoption.jpeg?resize=750%2C236&amp;ssl=1\" alt=\"\" width=\"750\" height=\"236\" srcset=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Adoption.jpeg?w=1835&amp;ssl=1 1835w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Adoption.jpeg?resize=300%2C94&amp;ssl=1 300w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Adoption.jpeg?resize=1024%2C321&amp;ssl=1 1024w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Adoption.jpeg?resize=768%2C241&amp;ssl=1 768w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Adoption.jpeg?resize=1536%2C482&amp;ssl=1 1536w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Adoption.jpeg?resize=1568%2C492&amp;ssl=1 1568w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\"><\/p>\n<h5><b>Use Cases &amp; Agentic Workflows<\/b><\/h5>\n<p><b>Rise of Autonomous Agents<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">The market is evolving from simple AI tasks to multi-step, autonomous \u201cagentic workflows\u201d that complete entire business processes end-to-end \u2014 in areas like sales, coding, customer support, and document processing.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For startups:<\/b><span style=\"font-weight: 400;\"> Identify high-value, multi-step business processes and automate them completely. Move from selling \u201ctools\u201d to selling \u201coutcomes\u201d with fundamentally better economics.<\/span><\/li>\n<\/ul>\n<p><b>Three-Phase Enterprise Evolution<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Enterprises typically move through three phases: pilots, selective rollout, and broad adoption. Many stall at the pilot stage due to organizational friction rather than technical limitations.<\/span><\/p>\n<ul>\n<li><b>For AI teams:<\/b><span style=\"font-weight: 400;\"> Ship solutions that help customers break through adoption bottlenecks. Budget time for policy alignment, enablement, and measurement alongside technical development.<\/span><\/li>\n<\/ul>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"46213\" data-permalink=\"https:\/\/gradientflow.com\/your-ai-playbook-for-the-rest-of-2025\/enterprise-ai-use-cases-and-agents\/\" data-orig-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-use-cases-and-agents.jpeg?fit=1779%2C624&amp;ssl=1\" data-orig-size=\"1779,624\" data-comments-opened=\"0\" data-image-meta='{\"aperture\":\"0\",\"credit\":\"\",\"camera\":\"\",\"caption\":\"\",\"created_timestamp\":\"0\",\"copyright\":\"\",\"focal_length\":\"0\",\"iso\":\"0\",\"shutter_speed\":\"0\",\"title\":\"\",\"orientation\":\"1\"}' data-image-title=\"Enterprise AI \u2013 use cases and agents\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-use-cases-and-agents.jpeg?fit=300%2C105&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-use-cases-and-agents.jpeg?fit=750%2C263&amp;ssl=1\" class=\"aligncenter wp-image-46213\" src=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-use-cases-and-agents.jpeg?resize=727%2C255&amp;ssl=1\" alt=\"\" width=\"727\" height=\"255\" srcset=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-use-cases-and-agents.jpeg?w=1779&amp;ssl=1 1779w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-use-cases-and-agents.jpeg?resize=300%2C105&amp;ssl=1 300w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-use-cases-and-agents.jpeg?resize=1024%2C359&amp;ssl=1 1024w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-use-cases-and-agents.jpeg?resize=768%2C269&amp;ssl=1 768w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-use-cases-and-agents.jpeg?resize=1536%2C539&amp;ssl=1 1536w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-use-cases-and-agents.jpeg?resize=1568%2C550&amp;ssl=1 1568w\" sizes=\"auto, (max-width: 727px) 100vw, 727px\"><\/p>\n<h5><b>Organizational &amp; Workforce Transformation<\/b><\/h5>\n<p><b>AI-Native Workforce Expectations<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">A new generation of employees accustomed to ChatGPT and similar tools expects AI-enhanced work environments. Companies unable to provide AI-native experiences face recruitment and retention challenges.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For enterprises:<\/b><span style=\"font-weight: 400;\"> Deliver consumer-grade UX with enterprise-grade controls. Leverage users\u2019 existing AI fluency with familiar conversational interfaces.<\/span><\/li>\n<\/ul>\n<p><b>Workforce Flattening and Role Evolution<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">AI tools enable individual contributors to handle broader responsibilities, blurring traditional role boundaries and potentially flattening organizational hierarchies.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For AI teams:<\/b><span style=\"font-weight: 400;\"> Design applications that enable role expansion and cross-skilling rather than simple productivity improvements. Consider impacts on organizational structure and accountability.<\/span><\/li>\n<\/ul>\n<p><b>Change Management Complexity<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">While engineering teams adopt AI quickly, legal, security, and procurement operate on quarterly cadences, creating deployment bottlenecks despite CEO enthusiasm for AI initiatives.<\/span><\/p>\n<ul>\n<li><b>For enterprises:<\/b><span style=\"font-weight: 400;\"> Treat policy alignment, enablement, and change management as first-class requirements. Understand that organizational readiness often gates deployment more than technical capabilities.<\/span><\/li>\n<\/ul>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"46215\" data-permalink=\"https:\/\/gradientflow.com\/your-ai-playbook-for-the-rest-of-2025\/enterprise-ai-organizational\/\" data-orig-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Organizational.jpeg?fit=1853%2C555&amp;ssl=1\" data-orig-size=\"1853,555\" data-comments-opened=\"0\" data-image-meta='{\"aperture\":\"0\",\"credit\":\"\",\"camera\":\"\",\"caption\":\"\",\"created_timestamp\":\"0\",\"copyright\":\"\",\"focal_length\":\"0\",\"iso\":\"0\",\"shutter_speed\":\"0\",\"title\":\"\",\"orientation\":\"1\"}' data-image-title=\"Enterprise AI \u2013 Organizational\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Organizational.jpeg?fit=300%2C90&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Organizational.jpeg?fit=750%2C225&amp;ssl=1\" class=\"aligncenter wp-image-46215\" src=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Organizational.jpeg?resize=668%2C200&amp;ssl=1\" alt=\"\" width=\"668\" height=\"200\" srcset=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Organizational.jpeg?w=1853&amp;ssl=1 1853w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Organizational.jpeg?resize=300%2C90&amp;ssl=1 300w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Organizational.jpeg?resize=1024%2C307&amp;ssl=1 1024w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Organizational.jpeg?resize=768%2C230&amp;ssl=1 768w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Organizational.jpeg?resize=1536%2C460&amp;ssl=1 1536w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-Organizational.jpeg?resize=1568%2C470&amp;ssl=1 1568w\" sizes=\"auto, (max-width: 668px) 100vw, 668px\"><\/p>\n<h4><b>Trends<\/b><\/h4>\n<p><b>Open Source Acceleration<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Open-weights models now trail proprietary breakthroughs by only months, fundamentally changing competitive dynamics and forcing vendors toward more open approaches.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Standardize on open models for most workloads, reserving proprietary models only for specialized edge cases requiring highest quality or lowest latency.<\/span><\/li>\n<\/ul>\n<p><b>Zero-Friction Infrastructure<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Current AI adoption builds on two decades of cloud, SaaS, SSO, and API infrastructure, creating an environment where adding AI is just another integration rather than a fundamental rebuild.<\/span><\/p>\n<ul>\n<li><b>For startups:<\/b><span style=\"font-weight: 400;\"> Leverage existing infrastructure rather than rebuilding foundations. Compete on domain fit and workflow intimacy, not plumbing. Differentiation has moved up the stack.<\/span><\/li>\n<\/ul>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"46294\" data-permalink=\"https:\/\/gradientflow.com\/your-ai-playbook-for-the-rest-of-2025\/enterprise-ai-playbook\/\" data-orig-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-playbook.jpeg?fit=1900%2C888&amp;ssl=1\" data-orig-size=\"1900,888\" data-comments-opened=\"0\" data-image-meta='{\"aperture\":\"0\",\"credit\":\"\",\"camera\":\"\",\"caption\":\"\",\"created_timestamp\":\"0\",\"copyright\":\"\",\"focal_length\":\"0\",\"iso\":\"0\",\"shutter_speed\":\"0\",\"title\":\"\",\"orientation\":\"1\"}' data-image-title=\"Enterprise AI playbook\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-playbook.jpeg?fit=300%2C140&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-playbook.jpeg?fit=750%2C351&amp;ssl=1\" class=\"aligncenter  wp-image-46294\" src=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-playbook.jpeg?resize=724%2C338&amp;ssl=1\" alt=\"\" width=\"724\" height=\"338\" srcset=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-playbook.jpeg?w=1900&amp;ssl=1 1900w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-playbook.jpeg?resize=300%2C140&amp;ssl=1 300w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-playbook.jpeg?resize=1024%2C479&amp;ssl=1 1024w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-playbook.jpeg?resize=768%2C359&amp;ssl=1 768w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-playbook.jpeg?resize=1536%2C718&amp;ssl=1 1536w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/07\/Enterprise-AI-playbook.jpeg?resize=1568%2C733&amp;ssl=1 1568w\" sizes=\"auto, (max-width: 724px) 100vw, 724px\"><\/p>\n<hr>\n<h5 style=\"text-align: center;\" data-pm-slice=\"1 1 []\"><em>If this playbook resonated, consider becoming a paid subscriber <img decoding=\"async\" src=\"https:\/\/s.w.org\/images\/core\/emoji\/15.1.0\/72x72\/1f64f.png\" alt=\"\ud83d\ude4f\" class=\"wp-smiley\" style=\"height: 1em; max-height: 1em;\"><\/em><\/h5>\n<\/p>\n<p><center><iframe loading=\"lazy\" style=\"border: 1px solid #EEE; background: white;\" src=\"https:\/\/gradientflow.substack.com\/embed\" width=\"480\" height=\"320\" frameborder=\"0\" scrolling=\"no\"><\/iframe><\/center><\/p>\n<p><a class=\"a2a_button_bluesky\" href=\"https:\/\/www.addtoany.com\/add_to\/bluesky?linkurl=https%3A%2F%2Fgradientflow.com%2Fmid-2025-ai-update-whats-actually-working-in-enterprise%2F&amp;linkname=Mid-2025%20AI%20Update%3A%20What%E2%80%99s%20Actually%20Working%20in%20Enterprise\" title=\"Bluesky\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_linkedin\" href=\"https:\/\/www.addtoany.com\/add_to\/linkedin?linkurl=https%3A%2F%2Fgradientflow.com%2Fmid-2025-ai-update-whats-actually-working-in-enterprise%2F&amp;linkname=Mid-2025%20AI%20Update%3A%20What%E2%80%99s%20Actually%20Working%20in%20Enterprise\" title=\"LinkedIn\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_facebook\" href=\"https:\/\/www.addtoany.com\/add_to\/facebook?linkurl=https%3A%2F%2Fgradientflow.com%2Fmid-2025-ai-update-whats-actually-working-in-enterprise%2F&amp;linkname=Mid-2025%20AI%20Update%3A%20What%E2%80%99s%20Actually%20Working%20in%20Enterprise\" title=\"Facebook\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_reddit\" href=\"https:\/\/www.addtoany.com\/add_to\/reddit?linkurl=https%3A%2F%2Fgradientflow.com%2Fmid-2025-ai-update-whats-actually-working-in-enterprise%2F&amp;linkname=Mid-2025%20AI%20Update%3A%20What%E2%80%99s%20Actually%20Working%20in%20Enterprise\" title=\"Reddit\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_email\" href=\"https:\/\/www.addtoany.com\/add_to\/email?linkurl=https%3A%2F%2Fgradientflow.com%2Fmid-2025-ai-update-whats-actually-working-in-enterprise%2F&amp;linkname=Mid-2025%20AI%20Update%3A%20What%E2%80%99s%20Actually%20Working%20in%20Enterprise\" title=\"Email\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_mastodon\" href=\"https:\/\/www.addtoany.com\/add_to\/mastodon?linkurl=https%3A%2F%2Fgradientflow.com%2Fmid-2025-ai-update-whats-actually-working-in-enterprise%2F&amp;linkname=Mid-2025%20AI%20Update%3A%20What%E2%80%99s%20Actually%20Working%20in%20Enterprise\" title=\"Mastodon\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_copy_link\" href=\"https:\/\/www.addtoany.com\/add_to\/copy_link?linkurl=https%3A%2F%2Fgradientflow.com%2Fmid-2025-ai-update-whats-actually-working-in-enterprise%2F&amp;linkname=Mid-2025%20AI%20Update%3A%20What%E2%80%99s%20Actually%20Working%20in%20Enterprise\" title=\"Copy Link\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><\/p>\n<p>The post <a href=\"https:\/\/gradientflow.com\/mid-2025-ai-update-whats-actually-working-in-enterprise\/\">Mid-2025 AI Update: What\u2019s Actually Working in Enterprise<\/a> appeared first on <a href=\"https:\/\/gradientflow.com\/\">Gradient Flow<\/a>.<\/p>\n<\/div>\n<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div>","protected":false},"excerpt":{"rendered":"<p>As we cross the midpoint of 2025, the conversation around AI is shifting from potential to practice. While the race to build the next frontier model dominates headlines, the more&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3530","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts\/3530","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/comments?post=3530"}],"version-history":[{"count":0,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts\/3530\/revisions"}],"wp:attachment":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/media?parent=3530"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/categories?post=3530"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/tags?post=3530"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}